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Title & Speakers	Event
PyData @ Intango 2024-04-03 · 15:00 Join us for a special meetup with insightful sessions, great people and, of course, beer and pizza! We would like to thank Intango for hosting us! Agenda 18:00-18:30 Gathering 18:30-18:45 Welcome words from our host- Intango 18:45-19:20 To Bid, or not to Bid – Reinforcement Learning for Real Time Bidding / Doron Hai Reuven (Intango) 19:20-19:45 A short break 19:45-20:00 Vector embeddings at the center of your data stack/ Daniel Svonava (Superlinked) 20:00-20:30 Polars is the Pandas killer / Igor Mintz (Viz.ai) Space is limited - RSVP now to secure your spot! *This meetup will be held in English. A recording will be shared after the event	PyData @ Intango
Building Production Search Systems - Daniel Svonava 2024-03-22 · 16:00 Daniel Svonava – guest Links: VectorHub: https://superlinked.com/vectorhub/?utm_source=community&utm_medium=podcast&utm_campaign=datatalks Daniel's LinkedIn: https://www.linkedin.com/in/svonava/ Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html This podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems. Data Engineering GitHub HTML	DataTalks.Club Listen
Building Production Search Systems 2024-03-11 · 16:00 Harnessing Vector Embeddings for Real-World Impact - Daniel Svonava About the event Outline: The fundamental principles of vector embeddings Practical applications of vector embeddings RAG (Retrieval-Augmented Generation) and LLMs Integrating vector embeddings into existing infrastructure About the speaker: Daniel is the CEO of Superlinked.com, a compute and data engineering framework for turning data into vector embeddings, designed for building high-relevance RAG, Search, Recommender, and Analytics systems. Before, Daniel was a Tech Lead at YouTube, where he built Machine Learning infrastructure that enables the purchase of more than 10 billion USD worth of YouTube Ads every year. DataTalks.Club is the place to talk about data. Join our slack community! This podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems. Thanks for supporting this event! Thanks for sponsoring this event!	Building Production Search Systems
Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00 Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked). In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data. This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.	Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat
Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00 Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked). In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data. This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.	Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat
Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00 Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked). In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data. This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.	Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat

PyData @ Intango 2024-04-03 · 15:00

Join us for a special meetup with insightful sessions, great people and, of course, beer and pizza! We would like to thank Intango for hosting us!

Agenda 18:00-18:30 Gathering 18:30-18:45 Welcome words from our host- Intango 18:45-19:20 To Bid, or not to Bid – Reinforcement Learning for Real Time Bidding / Doron Hai Reuven (Intango) 19:20-19:45 A short break 19:45-20:00 Vector embeddings at the center of your data stack/ Daniel Svonava (Superlinked) 20:00-20:30 Polars is the Pandas killer / Igor Mintz (Viz.ai)

Space is limited - RSVP now to secure your spot! *This meetup will be held in English. A recording will be shared after the event

PyData @ Intango

Building Production Search Systems - Daniel Svonava 2024-03-22 · 16:00

Daniel Svonava – guest

Links:

VectorHub: https://superlinked.com/vectorhub/?utm_source=community&utm_medium=podcast&utm_campaign=datatalks Daniel's LinkedIn: https://www.linkedin.com/in/svonava/

Free Data Engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

This podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems.

Data Engineering GitHub HTML

DataTalks.Club

Listen

Building Production Search Systems 2024-03-11 · 16:00

Harnessing Vector Embeddings for Real-World Impact - Daniel Svonava About the event

Outline:

The fundamental principles of vector embeddings
Practical applications of vector embeddings
RAG (Retrieval-Augmented Generation) and LLMs
Integrating vector embeddings into existing infrastructure

About the speaker:

Daniel is the CEO of Superlinked.com, a compute and data engineering framework for turning data into vector embeddings, designed for building high-relevance RAG, Search, Recommender, and Analytics systems. Before, Daniel was a Tech Lead at YouTube, where he built Machine Learning infrastructure that enables the purchase of more than 10 billion USD worth of YouTube Ads every year.

DataTalks.Club is the place to talk about data. Join our slack community!

This podcast is sponsored by VectorHub, a free open-source learning community for all things vector embeddings and information retrieval systems. Thanks for supporting this event! Thanks for sponsoring this event!

Building Production Search Systems

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00

Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked).

In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data.

This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00

Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked).

In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data.

This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat 2023-09-11 · 18:00

Join us for an engaging conversation about Large Language Models (LLMs) with a panel of industry leaders: Raja Iqbal (Chief Data Scientist, Data Science Dojo), Taimur Rashid (Chief Business Officer, Redis), Sam Partee (Principal Applied AI Engineer, Redis), and Daniel Svonava (CEO, Superlinked).

In this era where generative AI and LLMs are reshaping industries, businesses must be equipped to harness their potential fully. This discussion will focus on the common design patterns for LLM applications, especially the Retrieval-Augmented Generation (RAG) framework. The speakers will discuss various strategies for embedding knowledge into these models, using vector databases and knowledge graphs in fetching domain-specific data.

This discussion aims to not only inspire organizational leaders to reimagine their data strategies in the face of LLMs and generative AI but also to empower technical architects and engineers with practical insights and methodologies.

Building LLM Applications with Retrieval-Augmented Generation: A Fireside Chat

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